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authorGravatar Gael Guennebaud <g.gael@free.fr>2018-07-02 11:41:09 +0200
committerGravatar Gael Guennebaud <g.gael@free.fr>2018-07-02 11:41:09 +0200
commitd428a199ab70bc08db7551457a1e9d8f65d9ebb9 (patch)
treecff1c55b4bede4c05c27957efb0846ff864ab626 /test
parenta7b313a16cf5b64981dd953f150327638379e68b (diff)
bug #1562: optimize evaluation of small products of the form s*A*B by rewriting them as: s*(A.lazyProduct(B)) to save a costly temporary. Measured speedup from 2x to 5x...
Diffstat (limited to 'test')
-rw-r--r--test/product.h11
-rw-r--r--test/product_large.cpp2
2 files changed, 13 insertions, 0 deletions
diff --git a/test/product.h b/test/product.h
index 0425a929e..d26e8063d 100644
--- a/test/product.h
+++ b/test/product.h
@@ -111,6 +111,17 @@ template<typename MatrixType> void product(const MatrixType& m)
vcres.noalias() -= m1.transpose() * v1;
VERIFY_IS_APPROX(vcres, vc2 - m1.transpose() * v1);
+ // test scaled products
+ res = square;
+ res.noalias() = s1 * m1 * m2.transpose();
+ VERIFY_IS_APPROX(res, ((s1*m1).eval() * m2.transpose()));
+ res = square;
+ res.noalias() += s1 * m1 * m2.transpose();
+ VERIFY_IS_APPROX(res, square + ((s1*m1).eval() * m2.transpose()));
+ res = square;
+ res.noalias() -= s1 * m1 * m2.transpose();
+ VERIFY_IS_APPROX(res, square - ((s1*m1).eval() * m2.transpose()));
+
// test d ?= a+b*c rules
res.noalias() = square + m1 * m2.transpose();
VERIFY_IS_APPROX(res, square + m1 * m2.transpose());
diff --git a/test/product_large.cpp b/test/product_large.cpp
index 845cd40ca..14a4f739d 100644
--- a/test/product_large.cpp
+++ b/test/product_large.cpp
@@ -35,6 +35,8 @@ void test_product_large()
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST_1( product(MatrixXf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
CALL_SUBTEST_2( product(MatrixXd(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
+ CALL_SUBTEST_2( product(MatrixXd(internal::random<int>(1,10), internal::random<int>(1,10))) );
+
CALL_SUBTEST_3( product(MatrixXi(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );
CALL_SUBTEST_4( product(MatrixXcf(internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2), internal::random<int>(1,EIGEN_TEST_MAX_SIZE/2))) );
CALL_SUBTEST_5( product(Matrix<float,Dynamic,Dynamic,RowMajor>(internal::random<int>(1,EIGEN_TEST_MAX_SIZE), internal::random<int>(1,EIGEN_TEST_MAX_SIZE))) );